Abstract
This paper describes a new quantitative similarity metric for cases comprising an episode represented by a problem/solution pair and an interpretation in the form of a set of imperfect explanations.
Our explanation-based metric is an alternative to other approaches that use case's explanations for selection and retrieval. We analyse this metric and present some examples.
We describe CLASH, a Case-Based Reasoning Expert System implemented in PROLOG, which applies this metric. The results provided by CLASH are compared with another system based on a different explanation-based metric for case retrieval.
We would like to thank Manuela Veloso for helpful discussions of these issues.
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© 1994 Springer-Verlag Berlin Heidelberg
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Bento, C., Costa, E. (1994). A Similarity metric for retrieval of cases imperfectly explained. In: Wess, S., Althoff, KD., Richter, M.M. (eds) Topics in Case-Based Reasoning. EWCBR 1993. Lecture Notes in Computer Science, vol 837. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58330-0_79
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DOI: https://doi.org/10.1007/3-540-58330-0_79
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Online ISBN: 978-3-540-48655-8
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